EP3475917A1 - Rgb-d-kamerabasiertes verfolgungssystem und verfahren dafür - Google Patents

Rgb-d-kamerabasiertes verfolgungssystem und verfahren dafür

Info

Publication number
EP3475917A1
EP3475917A1 EP17733432.3A EP17733432A EP3475917A1 EP 3475917 A1 EP3475917 A1 EP 3475917A1 EP 17733432 A EP17733432 A EP 17733432A EP 3475917 A1 EP3475917 A1 EP 3475917A1
Authority
EP
European Patent Office
Prior art keywords
keyframe
graph
constraint
loop
generating
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP17733432.3A
Other languages
English (en)
French (fr)
Other versions
EP3475917B1 (de
Inventor
Soohwan Kim
Benzun Pious Wisely BABU
Zhixin Yan
Liu Ren
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Robert Bosch GmbH
Original Assignee
Robert Bosch GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Robert Bosch GmbH filed Critical Robert Bosch GmbH
Publication of EP3475917A1 publication Critical patent/EP3475917A1/de
Application granted granted Critical
Publication of EP3475917B1 publication Critical patent/EP3475917B1/de
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/46Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/7837Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/50Depth or shape recovery
    • G06T7/55Depth or shape recovery from multiple images
    • G06T7/579Depth or shape recovery from multiple images from motion
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20072Graph-based image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20076Probabilistic image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30241Trajectory
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30244Camera pose
EP17733432.3A 2016-06-24 2017-06-26 Rgb-d-kamerabasiertes slam-system und verfahren dafür Active EP3475917B1 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201662354251P 2016-06-24 2016-06-24
PCT/EP2017/065677 WO2017220815A1 (en) 2016-06-24 2017-06-26 Rgb-d camera based tracking system and method thereof

Publications (2)

Publication Number Publication Date
EP3475917A1 true EP3475917A1 (de) 2019-05-01
EP3475917B1 EP3475917B1 (de) 2022-01-26

Family

ID=59227732

Family Applications (1)

Application Number Title Priority Date Filing Date
EP17733432.3A Active EP3475917B1 (de) 2016-06-24 2017-06-26 Rgb-d-kamerabasiertes slam-system und verfahren dafür

Country Status (7)

Country Link
US (1) US11093753B2 (de)
EP (1) EP3475917B1 (de)
JP (1) JP2019522288A (de)
KR (1) KR102471301B1 (de)
CN (1) CN109478330B (de)
ES (1) ES2911400T3 (de)
WO (1) WO2017220815A1 (de)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3474230B1 (de) * 2017-10-18 2020-07-22 Tata Consultancy Services Limited Systeme und verfahren für monokularen visuellen slam auf basis von kantenpunkten
CN108564625B (zh) * 2018-04-27 2019-08-23 百度在线网络技术(北京)有限公司 图优化方法、装置、电子设备及存储介质
CN108648274B (zh) * 2018-05-10 2020-05-22 华南理工大学 一种视觉slam的认知点云地图创建系统
TWI679511B (zh) * 2018-08-22 2019-12-11 和碩聯合科技股份有限公司 軌跡規劃方法與系統
CA3028708A1 (en) * 2018-12-28 2020-06-28 Zih Corp. Method, system and apparatus for dynamic loop closure in mapping trajectories
CN110516527B (zh) * 2019-07-08 2023-05-23 广东工业大学 一种基于实例分割的视觉slam回环检测改进方法
CN110956651B (zh) * 2019-12-16 2021-02-19 哈尔滨工业大学 一种基于视觉和振动触觉融合的地形语义感知方法
CN111292420B (zh) * 2020-02-28 2023-04-28 北京百度网讯科技有限公司 用于构建地图的方法和装置
CN112016612A (zh) * 2020-08-26 2020-12-01 四川阿泰因机器人智能装备有限公司 一种基于单目深度估计的多传感器融合slam方法
US11899469B2 (en) 2021-08-24 2024-02-13 Honeywell International Inc. Method and system of integrity monitoring for visual odometry

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2619742B1 (de) * 2010-09-24 2018-02-28 iRobot Corporation Systeme und verfahren zur vslam-optimierung
US8913055B2 (en) 2011-05-31 2014-12-16 Honda Motor Co., Ltd. Online environment mapping
GB201202344D0 (en) * 2012-02-10 2012-03-28 Isis Innovation Method of locating a sensor and related apparatus
US9269003B2 (en) * 2013-04-30 2016-02-23 Qualcomm Incorporated Diminished and mediated reality effects from reconstruction
US9607401B2 (en) 2013-05-08 2017-03-28 Regents Of The University Of Minnesota Constrained key frame localization and mapping for vision-aided inertial navigation
CN104374395A (zh) * 2014-03-31 2015-02-25 南京邮电大学 基于图的视觉slam方法
WO2015194864A1 (ko) * 2014-06-17 2015-12-23 (주)유진로봇 이동 로봇의 맵을 업데이트하기 위한 장치 및 그 방법

Also Published As

Publication number Publication date
US20190377952A1 (en) 2019-12-12
JP2019522288A (ja) 2019-08-08
US11093753B2 (en) 2021-08-17
ES2911400T3 (es) 2022-05-19
CN109478330A (zh) 2019-03-15
WO2017220815A1 (en) 2017-12-28
KR102471301B1 (ko) 2022-11-29
CN109478330B (zh) 2022-03-29
KR20190021257A (ko) 2019-03-05
EP3475917B1 (de) 2022-01-26

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